обновлено 7 дней назад
Data & AI Product Delivery Lead (R&D & Medical)
150 000 - 210 000$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Data & AI Product Delivery Lead (R&D & Medical) (AI and Life Sciences): Leading data and AI initiatives across R&D and Medical, from roadmap definition and product delivery through operational handover, with an accent on portfolio management, data governance, and enterprise stakeholder alignment. Focus on building cross-functional delivery teams, scaling MVPs into secure and compliant products, and driving adoption through change management.
Location: Cambridge, United States
Annual base salary: $150,000–$210,000, plus eligibility for a short-term incentive program.
Company
Global biopharmaceutical company focused on transformative medicines in oncology, rare disease, and neuroscience.
What you will do
- Act as the primary liaison between Global Data & AI, R&D, Medical, and GDIT business partners.
- Create strategic roadmaps and manage the portfolio of Data & AI initiatives.
- Lead initiatives from demand discovery and requirements definition through MVP development, scaling, operations, and handover.
- Translate business needs into data requirements, product specifications, architecture options, and delivery plans.
- Build cross-functional teams and oversee delivery quality, budget, timelines, security, compliance, and value realization.
- Drive adoption through stakeholder engagement, training, communications, and change management.
Requirements
- Master’s degree in data science, computer science, information technology, business administration, or a related field.
- 7+ years of experience managing data initiative products and enterprise-wide cross-functional initiatives.
- Proficient in English and French.
- Experience with R&D and Medical data transformation in the pharmaceutical industry, project and portfolio management, Agile methods, and software development lifecycles.
- Knowledge of data analysis and management, including SQL, Python, AI, machine learning, software engineering, cloud platforms, and technical architecture.
- Experience with AWS, Azure, Jira, Confluence, UX/UI design, and solution design.
Nice to have
- Experience in the pharmaceutical or life sciences industry.
- Familiarity with enterprise architecture concepts and Microsoft 365.
Culture & Benefits
- Comprehensive employee benefits package with 401(k) company contributions.
- Medical, dental, vision, life, disability, and flexible spending account coverage.
- Parental leave, paid time off, discretionary winter shutdown, well-being allowance, and commuter benefits.
- Inclusive workplace focused on collaboration, employee development, and equal opportunities.
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